A CRISPR/Cas12a-based colorimetric AuNPs biosensor for naked-eye detection of pathogenic bacteria in clinical samples

Laibao Zheng1, Chaochuan Zheng2, Weiwei Wang1

  • 1Wenzhou Key Laboratory of Sanitary Microbiology, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou 325035, China.

Insights

A new CRISPR/Cas12a biosensor detects Pseudomonas aeruginosa in two hours. This rapid, colorimetric method shows high accuracy in clinical samples, offering a promising tool for infectious disease diagnostics.

Area of Science:

  • Microbiology
  • Molecular Biology
  • Biotechnology

Background:

  • Pseudomonas aeruginosa is a multidrug-resistant pathogen causing severe infections.
  • Rapid detection is vital for treatment and infection control, especially in resource-limited areas.
  • Existing methods can be slow or require specialized equipment.

Purpose of the Study:

  • To develop a rapid, sensitive, and specific CRISPR/Cas12a-based colorimetric biosensor for P. aeruginosa detection.
  • To evaluate the biosensor's performance in spiked clinical samples (sputum, blood).
  • To assess the diagnostic accuracy of the biosensor in a clinical setting.

Main Methods:

  • Utilized CRISPR/Cas12a system leveraging trans-cleavage activity to release single-stranded DNA (ssDNA).
  • Developed a colorimetric assay involving hybridization of released ssDNA with functionalized gold nanoparticles (AuNPs).
  • Validated specificity and robustness using spiked sputum and blood samples, and clinical blood samples.

Main Results:

  • Achieved a detection limit of 10^0 CFU/reaction for P. aeruginosa within 2 hours.
  • Demonstrated excellent specificity and robustness in spiked samples.
  • Clinical testing on 32 blood samples showed high diagnostic accuracy with an AUC of 1.

Conclusions:

  • The developed CRISPR/Cas12a biosensor provides rapid and accurate detection of P. aeruginosa.
  • The platform's simplicity and robustness make it suitable for resource-limited settings.
  • This technology holds significant potential for point-of-care infectious disease diagnostics.